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PYTHON PROJECTS

Breast cancer disease prediction using Neural Networks

Breast cancer disease prediction using Neural Networks Python demo

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Multi-class intrusion detection using machine learning algorithms

Implementation Details: We have used KDD dataset with multiple class intrusion namely DDOS, U2R, R2L, Probe, Normal, Unknown We have pre-processed dataset by using the following numbers instead of attack type (class value) dos = [1] u2r = [2] r2l = [3] probe = [4] normal = [5] unknown = [6] We applied machine learning algorithm namely, Logistic regression, Decision Tree and Random Forest. Out of which Logistic regression outperforms interms of accuracy Python Demo

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Handwritten Character and Digit Recognition using Conv2D

Handwritten Character and Digit Recognition using Conv2D Python Demo

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Heart Disease Detection using Neural Networks

Heart Disease Detection using Neural Networks Python demo

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Hindi Handwritten Character Recognition using Constitutional Deep Neural Networks

Hindi Handwritten Character recognition using Constitutional Deep neural networks Implementation Details: ———————- 1. Execute load_image_into_pickle.py file a. It takes input of images from folder /Dataset b. Image pre-process and feature extraction done c. Saves output file in folder “dataset_pickles” as dataset_46_classes.pickle 2. Execute train_model.py a. Gets input file dataset_46_classes.pickle b. Convolutional deep neural network used for training model c. output of train model is stored in folder /out 3. Execute predict_model.py a. It takes input of test images from folder /test_images b. Model compares with the weight model created during…

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Analysis cum Visualisation of Enron dataset and Anomaly detection using k-means clustering

Analysis cum Visualization of Enron dataset and Anomaly detection using k-means clustering Python Demo

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SMS spam detection using Neural Networks

SMS spam detection using Recurrent Neural Networks Implementation details: 1. SMS dataset is taken, which is represented with ham and Spam 2. Dataset is pre-processed a.removed all stop word, stop words are given in separate file b. converted type of sms to numeric ham-1 and spam-2 3. Pre-processed dataset is tokenized, applied pad_sequnce, then converted to vectors 4. Then they are trained by network model and creates output file h5, json 5. Test input is given to the model and predicts the output 6. Comparison and accuracy are arrived. Python…

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Emoji Emoticons Sentiment Analysis

Emoji Emoticons Sentiment Analysis Python Demo

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Cricket Team Selection by Data Envelopment Analysis

Cricket Team Selection by Data Envelopment Analysis   1. We have listed 15 players in playerid.csv file 2. We are collecting one year average value of batsman, bowler, all rounder 3. We are pre-processing data and storeing the corresponding csv files 4. DEA algorithm is used input: name, X values (features), Y value (Average) output: theta for player 5. According to the output theta value, we are getting the 11 players selected Python Demo

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Efficient Metric Indexing for Similarity Search and Similarity Joins

Efficient Metric Indexing for Similarity Search and Similarity Joins Implementation Details ———————- 1. We are using yelp dataset (as it has many features) 2. We are giving query (Restaurants, Phoenix,AZ) 3. Dataset are collected live from yelp data 4. Pre-processing the data to numeral 5. Plot in map 6. We have considered orgin (latitude, longitude), from this 2.5 km surrounded resuts are arrived for space filling 7. The results are plotted in map 8. We apply B+ tree on the space filled results (for the given features, similarity results are…

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machine learning undergraduate projects